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NCT02931500 Clinical Trial

Machine Learning for Identification of Future Disease Development: A Nationwide Cohort Study (MILESTONE)

Cardiovascular Disease Clinical Trial

Official title:
MachIne LEarning for Identification of Future Development of cardiovaScular and meTabOlic Disease: a NationwidE Time-series Cohort Study (MILESTONE)

Clinical Trial Details — Status: Recruiting

Administrative data
NCT number NCT02931500
Other study ID # 4-2016-0383
Secondary ID
Status Recruiting
Phase N/A
First received July 21, 2016
Last updated January 9, 2018
Start date July 1, 2016
Est. completion date December 31, 2018

Study information
Verified date January 2018
Source Yonsei University
Contact Hyuk-Jae Chang, PhD
Email hjchang@yuhs.ac
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

To develop machine learning algorithms for the identification of future development of cardiovascular and metabolic disease

Description:

The MILESTONE trial is retrospective and data review study with health checkup data from the National Health Insurance Services(NHIS) in Korea. The data will be included general health examination for individuals , type of health insurance, medical bill details, medical histories, treatment and prescriptions about 514,795 individuals who were over 40 years old.

Recruitment information / eligibility
Status Recruiting
Enrollment 510000
Est. completion date December 31, 2018
Est. primary completion date October 30, 2018
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria:

- The Subject who is got health checkup between 2002 and 2013, and had been recorded the health checkup result to the National Health Insurance Service(NHIS) in South Korea.

Exclusion Criteria:

- Persons whose disease development is not identified from the records due to emigration or disappearance

Study Design

Related Conditions & MeSH terms

Locations
Country Name City State
Korea, Republic of Yonsei University Severance Hospital Seoul

Sponsors (1)
Lead Sponsor Collaborator
Yonsei University

Country where clinical trial is conducted

Korea, Republic of, 

Outcome
Type Measure Description Time frame Safety issue
Primary Accuracy in prediction of development of cardiovascular and metabolic disease using machine learning algorithm 6months
Secondary Accuracy in prediction of development of cardiovascular and metabolic disease using logistic regression analysis 6months
Secondary Accuracy in prediction of development of cardiovascular and metabolic disease using Framingham risk score 6months
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